Create network_optimization.py

QuantumNexusProtocol/src/ai/network_optimization.py

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+import numpy as np
+from sklearn.cluster import KMeans
+from sklearn.preprocessing import StandardScaler
+
+class NetworkOptimizer:
+    def __init__(self, data):
+        self.data = data
+        self.scaler = StandardScaler()
+
+    def optimize(self):
+        scaled_data = self.scaler.fit_transform(self.data)
+        kmeans = KMeans(n_clusters=3)
+        clusters = kmeans.fit_predict(scaled_data)
+        return clusters
+
+# Example usage
+if __name__ == "__main__":
+    data = np.random.rand(100, 5)  # Simulated network performance data
+    optimizer = NetworkOptimizer(data)
+    optimized_clusters = optimizer.optimize()
+    print("Optimized Network Clusters:", optimized_clusters)